About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Agentforce is Salesforce's agentic AI platform.
The Experience
Sales Cloud AI is revolutionizing how organizations strategize, execute, and refine their lead outreach and pipeline management. We are looking for engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud. In this role, you will be responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines.
The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents. These agents provide tools for lead outreach and pipeline management, significantly boosting sales productivity. By generating intelligent insights from conversational data, the platform empowers sellers to enhance their overall efficiency.
You're Our Person If...
•Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale for major enterprise cloud providers.
•Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments.
•Hands-on experience with building big data high availability pipelines with Flink.
•Demonstrated experience acting as a CI/CD champion, with a proven ability to uplift and mentor teams in best practices and automation.
•Extensive knowledge of contemporary public cloud frameworks (including AWS, GCP, or Azure) and high-performance backend infrastructure.
•Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby.
•Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies.
•Strong interpersonal and professional communication skills, with a focus on cross-functional collaboration and leadership.
•Commitment to technical excellence through meticulous attention to detail and proactive mentorship of junior engineers.
Even Better If...
•Proven ability to develop low-latency, large-scale data ingestion pipelines.
•Background in creating enterprise-grade, AI-driven sales solutions.
•History of architecting distributed real-time streaming systems.
•Expertise with message queuing technologies like Kafka.
•Hands-on experience with open-source ecosystems including Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB.
•At least 5 years of experience with Java, Spring, microservices, REST APIs, and distributed systems.
•Knowledge of deployment architectures and CI/CD tools such as Jenkins, Terraform, and Spinnaker.
•Familiarity with container orchestration platforms like Docker, Kubernetes, Helios, Fleet, or Mesos.
•Experience managing and monitoring mission-critical infrastructure, including logging, alerting, and reporting services.
•Proficiency in using NoSQL and SQL databases such as PostgreSQL and MongoDB.
•Deep understanding of high-volume distributed databases, data pipelines, and large-scale systems.
Compensation
The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Salesforce offers a variety of benefits including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
